Statistical analysis and modeling of variance in the SA-I mechanoreceptor response to sustained indentation.
Statistical analysis and modeling of variance in the SA-I mechanoreceptor response to sustained indentation.
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SA-I 机械感受器对持续压痕反应的方差的统计分析和建模。
DOI：
10.1109/iembs.2009.5334487
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发表时间：
2009
期刊：
影响因子：
--
通讯作者：
Lumpkin,EllenA
中科院分区：
文献类型：
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作者：
Lesniak,DaineR;Wellnitz,ScottA;Gerling,GregoryJ;Lumpkin,EllenA
慢适应I型机械感受器（SA-I）在重复刺激时传入内和传入之间的稳态放电率都表现出变异性。此外，SA-1的峰间间期在此稳态激发期间变化极大。虽然之前已经注意到SA-1响应的可变性，但是本文所呈现的工作提供了力和纤维对SA-1响应的影响的更精细的分析。具体来说，我们测试了两个假设：1）纤维与纤维的变化将显着影响作用力范围内的放电率，以及2）纤维与纤维的变化将显着影响作用力范围内峰间间隔的变异系数（CV）。利用小鼠的离体皮肤神经制备物，用来自五只小鼠的六根SA-1纤维进行实验，并用力大小高达9.59 mN的压缩刺激。我们发现纤维显著影响放电率和CV。这些发现激发了一个广义的输入（力）-输出（放电率）模型的建设组成的基线响应曲线和乘法纤维敏感性因子。这项工作将告知未来的努力，属性的差异，皮肤，神经元和受体的特性，并将有助于了解多少可变性是可接受的系统设计提供触觉反馈的神经系统。
The slowly-adapting type I mechanoreceptor (SA-I) exhibits variability in its steady-state firing rate both within an afferent upon repeated stimulation and between afferents. Additionally, inter-spike intervals of the SA-I are extremely variable during this steady-state firing. While variability of the SA-I response has been noted previously, the work presented herein provides a finer analysis of the impact of force and fiber on the SA-I response. Specifically, we test two hypotheses, that 1) fiber-to-fiber variation will significantly impact firing rate over the range of applied forces, and that 2) fiber-to-fiber variation will significantly impact the coefficient of variation (CV) of inter-spike intervals over the range of applied forces. Utilizing an ex vivo skin nerve preparation in the mouse, experiments were conducted with six SA-I fibers from five mice, and with compressive stimuli with force magnitudes up to 9.59 mN. We found fiber to significantly impact both firing rate and CV. These findings motivated the construction of a generalized input (force)-output (firing rate) model composed of a baseline response profile and a multiplicative fiber sensitivity factor. This work will inform future efforts to attribute variability to differences in skin, neuron, and receptor properties, and will contribute to the understanding of how much variability is acceptable in systems designed to provide tactile feedback to the nervous system.